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Voltar para Specialized Models: Time Series and Survival Analysis

Comentários e feedback de alunos de Specialized Models: Time Series and Survival Analysis da instituição IBM Skills Network

4.5
estrelas
95 classificações

Sobre o curso

This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning. By the end of this course you should be able to: Identify common modeling challenges with time series data Explain how to decompose Time Series data: trend, seasonality, and residuals Explain how autoregressive, moving average, and ARIMA models work Understand how to select and implement various Time Series models Describe hazard and survival modeling approaches Identify types of problems suitable for survival analysis Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Time Series Analysis and Survival Analysis.   What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics....

Melhores avaliações

YC

30 de abr de 2022

Excellenct course.

I could experience so many methodologies.

So tough to finish each project.

I really thank IBM and Coursera for this great course with just so small tuition fee.

MB

6 de mai de 2021

A very well-structured course with useful techniques and detail guidelines. The Python code templates are also really useful when bringing into real-life problems.

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1 — 25 de 28 Avaliações para o Specialized Models: Time Series and Survival Analysis

por Ashish P

9 de abr de 2021

por Lam C V D

10 de out de 2020

por R W

26 de jul de 2021

por Mohamed G H

26 de fev de 2021

por Keyur U

24 de dez de 2020

por Adam L

19 de set de 2021

por My B

7 de mai de 2021

por Rufus T

8 de abr de 2021

por Bishal B

4 de abr de 2022

por Mehul D S

1 de jul de 2021

por yong s c

1 de mai de 2022

por Ghada S

16 de mai de 2021

por SMRUTI R D

24 de nov de 2021

por Altemur Ç

27 de nov de 2021

por Mikhail G

17 de dez de 2021

por Pavuluri V C

24 de set de 2021

por Alparslan T

5 de jan de 2022

por george s

16 de set de 2021

por Juan M

24 de jul de 2021

por Luis P S

17 de jul de 2021

por Kevin P

8 de abr de 2022

por Jose M

16 de fev de 2021

por Fernandes M R

19 de jun de 2021

por vikas v

22 de nov de 2020

por Dennis B

24 de jun de 2022